US4719628A - Method and apparatus for decoding error correction code - Google Patents

Method and apparatus for decoding error correction code Download PDF

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US4719628A
US4719628A US06/767,783 US76778385A US4719628A US 4719628 A US4719628 A US 4719628A US 76778385 A US76778385 A US 76778385A US 4719628 A US4719628 A US 4719628A
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error correction
code
correction code
decoding
error
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Shinya Ozaki
Kentaro Odaka
Tadashi Fukumi
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Sony Corp
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Sony Corp
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    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/13Linear codes
    • H03M13/15Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes
    • H03M13/151Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes using error location or error correction polynomials
    • H03M13/158Finite field arithmetic processing
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/13Linear codes
    • H03M13/15Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/13Linear codes
    • H03M13/15Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes
    • H03M13/151Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes using error location or error correction polynomials
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/13Linear codes
    • H03M13/15Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes
    • H03M13/151Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes using error location or error correction polynomials
    • H03M13/1525Determination and particular use of error location polynomials
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/29Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/29Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes
    • H03M13/2903Methods and arrangements specifically for encoding, e.g. parallel encoding of a plurality of constituent codes
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/29Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes
    • H03M13/2906Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes using block codes
    • H03M13/2909Product codes
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/29Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes
    • H03M13/2906Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes using block codes
    • H03M13/2927Decoding strategies
    • H03M13/293Decoding strategies with erasure setting
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/03Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words
    • H03M13/05Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits
    • H03M13/13Linear codes
    • H03M13/15Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes
    • H03M13/151Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes using error location or error correction polynomials
    • H03M13/1515Reed-Solomon codes

Definitions

  • This invention relates to a method and an apparatus for decoding error correction code.
  • Product codes are well known such that information symbols are arranged in two-dimensional form; error correction codes are encoded for each row and column on the two-dimensional arrangement so that each information symbol is included in two error correction code series.
  • error correction codes are encoded for each row and column on the two-dimensional arrangement so that each information symbol is included in two error correction code series.
  • an error correction code is decoded for each column, and an error correction code can be decoded for each row by employing the decoded information.
  • the decoded information is called a pointer.
  • An object of this invention is to provide a method and an apparatus for decoding error correction codes which enable one to reduce the number of pointers required in decoding as well as the memory space required for pointers and to reduce the number needed for times of reading and writing the pointers.
  • Another object of this invention is to provide a method and an apparatus for decoding error correction codes which enable one to markedly reduce the number of processing steps in dependence upon the fact that the pointers with respect to each row are the same.
  • Still another object of this invention is to provide an apparatus for decoding error correction codes which enables one to reduce the number of calculating steps in an erasure correction.
  • a still further object of this invention is to provide a method for decoding error correction codes which can obtain error values in decoding in dependence upon a simple construction and using a small number of processing steps.
  • the present invention provides a method of decoding error correction code in which first error correction code of (n 1 , k 1 ) (where n 1 denotes the code length) are encoded for every k 1 information symbols in each column of two-dimensional arrangement (k 1 ⁇ k 2 ) and second error correction code of (n 2 , k 2 ) (where n 2 denotes the code length) are encoded for every k 2 information symbols in each row
  • the method for decoding error correction code comprises the steps of storing first pointers formed by decoding the first error correction code in a memory having n 2 bits, storing second pointers formed by decoding the second error correction code in at least a memory having k 1 bits, and evaluating the reliability on the basis of the status of the first and second pointers in outputting the information symbols.
  • a method of decoding error correction codes comprises the steps of storing first pointers formed by decoding the first error correction code in a memory having n 2 bits, implementing erasure correction with respect to each code series of the second error correction code by employing the first pointer and implementing a part of calculations for obtaining error values in the erasure correction only once with respect to each code series of the second error correction code in decoding the second error correction code.
  • an apparatus for decoding error correction code stores a syndrome in a syndrome register and forms an error value with respect to a single symbol by subtracting other error values from a value stored in the syndrome register in correcting a plurality of erroneous symbols.
  • FIG. 1 is a schematic block diagram showing an encoder according to an embodiment of the present invention.
  • FIG. 2 is a schematic diagram for assistance in explaining the operation of an embodiment of the present invention.
  • FIG. 3 is a schematic block diagram showing a decoder according to one embodiment of this invention.
  • FIG. 4 is a block diagram showing an embodiment of this invention.
  • FIG. 5 is a block diagram showing an essential portion of an embodiment of this invention.
  • FIG. 6 is a block diagram showing an construction of an embodiment for use with this invention.
  • FIG. 7 is a block diagram for assistance in explaining a processing circuit of FIG. 6.
  • FIG. 1 shows a structure of an encoder for product code.
  • the reference numeral 1 denotes an input terminal
  • the reference numeral 2 denotes a C 2 (the second error correction code) parity generator.
  • the input data from the input terminal 1 are supplied to the C 2 parity generator 2 and one input terminal of a selector 3, and the C 2 parity data formed by the C 2 parity generator 2 are supplied to the other input terminal of the selector 3.
  • the selector 3 repeats k 1 times the operations for selecting (n 2 -k 2 ) parity data after k 2 information symbols are selected. During this operation, the information symbols and the parity data are stored in a RAM (Random Access Memory) 4 in sequence under control of an address controller 5.
  • RAM Random Access Memory
  • the data read out from the RAM 4 are supplied to a C 1 (the first error correction code) parity generator 6 and the one input terminal of a selector 7, and the C 1 parity data formed by the C 1 parity generator 6 are supplied to the other input terminal of the selector 7.
  • the selector 7 selects ((n 1 -k 1 ) ⁇ k 2 ) C 1 parity data after having selected (k 1 ⁇ n 2 ) symbols including the C 2 parity data.
  • the digital data derived from an output terminal 8 of the selector 7 are transmitted or recorded on a magnetic tape (not shown) with a magnetic head, for instance. In this case, it is possible to write again the encoded output once into the RAM 4 and to read it out in a different sequence for recording.
  • FIG. 2 shows a configuration of code formed by the encoder as described above.
  • the information symbols are arranged in two dimensions of (k 1 ⁇ k 2 ).
  • the k 2 information symbols in every lateral direction, that is, in every row of the two-dimensional arrangement, are subjected to encoding process for the C 2 code.
  • the k 1 information symbols in every vertical direction, that is, in every column, are subjected to encoding process for the C 1 code.
  • the C 2 parity data are also encoded into the C 1 code.
  • the C 1 code is, for instance, (n 1 , k 1 ) Reed-Solomon code, by which it is possible to correct errors of up to (n 1 -k 1 )/2 symbols.
  • An error location polynominal ⁇ (z) and an error evaluation polynominal ⁇ (z) are obtained by employing the syndrome S j .
  • Euclid's mutual division method, Varlay-Camp's method, Peterson's method and so on have been proposed.
  • the error value Y i can be obtained on the basis of the error location X i and the error evaluation polynominal ⁇ (z).
  • FIG. 3 shows a configuration of the encoder of this embodiment.
  • the reproduced data are supplied from an input terminal designated by the reference numeral 11 and to a C 1 decoder 12.
  • the C 1 decoder 12 the decoding of the C 1 code is performed. All errors of up to (n 1 -k 1 )/2 symbols are corrected in the C 1 decoding. In the case, however, where the number of errors in a single series of C 1 code is more than or equal to a ( ⁇ (n 1 -k 1 )/2), the C 1 pointers of this series is set to "1", the other pointers are set to "0".
  • the reference numeral 13 denotes a pointer memory for storing the pointers of the C 1 code, which has n 2 bits.
  • the output of the C 1 decoder 12 is stored temporarily in a RAM 14 in sequence under the control of an address controller 15.
  • the output read out from the RAM 14 are supplied to a C 2 decoder 16 to be subjected to the decoding of the C 2 code.
  • the C 2 decoder 16 is supplied with the C 1 pointer from the pointer memory 13. Since the C 1 pointer is common to the all of K 1 series of C 2 code, it is possible to decode the C 2 code in accordance with the same procedure in each series.
  • the C 2 decoder 16 corrects errors of up to (n 2 -k 2 )/2 symbols and generate three kinds of pointers in the C 2 code which is stored in a pointer memory 17.
  • the C 2 pointers with respect to the series is set to "0".
  • the C 2 pointers are set to "1".
  • the C 2 pointers are set to "2". Therefore, the C 2 pointers have 2 bits and the pointer memory 17 has 2K 1 bits.
  • These pointer memories 13 and 17 are disposed separately from the RAM 14 for storing information symbols and parity data in decoding or disposed in common with the RAM 14 by using a part of memory regions of the RAM 14.
  • the C 1 pointer may have 2 bits or more. Further, it is possible to implement the error correction code processing of C 2 code for the C 1 parity, while providing a C 2 pointer memory of (2n 1 ) bits.
  • the interpolation circuit 18 performs the mean value interpolation, for instance.
  • the interpolation circuit 18 is controlled by a control circuit 19 which is supplied with the C 1 pointers and the C 2 pointers from the pointer memories 13 and 17.
  • the output data of the interpolation circuit 18 are derived at an output terminal 20.
  • the control circuit 19 determines by every information symbol whether interpolation is necessary on the basis of the c 1 pointer and c 2 pointer. In FIG. 2, There exist all the combinations of C 1 pointers designated as 13' and C 2 pointers designated as 17'.
  • the reliability of the C 1 pointers is evaluated by the C 2 decoder. For instance, provided that up to 2 symbol errors can be corrected by the C 2 code, if correction by the C 2 code can not be performed in spite of the fact that only one C 1 pointer is "1", it is determined that the reliability of the C 1 pointer is low because the above is abnormal. Even if errors are not corrected by the C 2 code, it is possible to eliminate the necessity of interpolation by providing three kinds (0, 1, 2) of the C 2 pointers and by discriminating the copies of C 1 pointers from all errors.
  • the erasure correction is made where the number of the C 1 pointers is less than or equal to (n 2 -k 2 ) and when the erasure correction is made, the C 2 pointer is set to "0".
  • the decoding of the Reed-Solomon code is performed by calculation of the error location polynominal ⁇ (z) and the error evaluation polynominal ⁇ (z) in every row and by employing syndrome obtained by n 2 symbols in each row.
  • the denominator term can be determined by only the error locations. For instance, provided that the error locations shown by the C 1 pointer are X 1 , X 2 , X 3 , the terms of denominator of the expressions for obtaining the error values Y 1 , Y 2 , Y 3 are:
  • the pointers stored in the pointer memory 13 are the same in all of the K 1 series of the C 2 code. Therefore, it is sufficient to implement the calculation of the denomimator term in the above expression to obtain error value only once with respect to the k i series.
  • FIG. 4 shows the configuration of an error correcting decoder for use with the above mentioned C 1 decoder and C 2 decoder.
  • the received data are supplied to an input terminal designated by the reference numeral 21 and supplied to a delay circuit 22 and a syndrome generating circuit 23.
  • the syndromes formed by the syndrome generating circuit 23 are supplied to an error location and error value calculating circuit 24.
  • the error data from the error location and error value calculating circuit 24 are supplied to an exclusive OR gate 25 and added to the received data from the delay circuit 22 in (mod. 2).
  • the received data from the delay circuit 22 and the error corrected data from the exclusive OR gate 25 are supplied to a selector 26.
  • the selector 26 is controlled by the error location data.
  • the output of the exclusive OR gate 25 is selected by the selector 26 to be derived at an output terminal 27 in place of the received data.
  • FIG. 5 shows a part of the error location and error value calculating circuit 24.
  • the reference numeral 28 denotes a data bus through which data and syndrome and so on are transferred.
  • the reference numeral 29 denotes a syndrome register in which the syndrome S 0 is stored through the data bus 28, a bus buffer 30 and an exclusive OR gate 31.
  • the syndrome S 0 has m bits in the case of Reed-Solomon code on GF(2 m ).
  • the syndrome S 0 from the syndrome register 29 is supplied to the exclusive OR gate 31 and the bus buffer 32.
  • the error value Y 4 is left in the syndrome register 29.
  • the error value Y 4 is outputted to the data bus 28 through the bus buffer 32 to be employed for error correction.
  • FIG. 6 shows another example of hardware for decoding in an erasure correction.
  • a main RAM 35 is connected to the data bus 28 through a writing register 33 and a reading register 34.
  • the syndrome register 29, a working RAM 36 and an operation logic circuit 37 are provided to the data bus 28.
  • n Number of erasure
  • n, X k , S.sub. ⁇ , are known, Y k is unknown.
  • the syndrome includes (n-1) erasures. Therefore, by reducing n by 1, Y n-1 can be obtained: ##EQU19## By this calculation, Y n-1 is obtained and Y n-1 X n-1 .sup. ⁇ is added to each syndrome S as follows:
  • correction code is a product code
  • 30 symbols are arranged in the vertical direction
  • 128 symbols are arranged in the lateral direction
  • the C 1 code is formed to the vertical direction
  • the C 2 code is formed to the lateral direction
  • the erasure corresponds to the location of the C 1 pointers
  • the method as above described has advantages such that it is possible to markedly reduce the number of calculation steps, processing time, hardware load for processing and so on as compared with the conventional method.
  • FIG. 7 a concept as shown in FIG. 7 is adopted.
  • the reference numerals 38, 39, 40 denote registers
  • the reference numeral 41 denotes an adder
  • the reference numeral 42 denotes a multiplier
  • the reference numeral 43 denotes a selector, which are comprise the operation logic 37.
  • S 0 is set to the register 39 38, Y i is set to the register, respectively through the data bus 28 from the syndrome register 29 and the working RAM 36 and so on. S 0 +Y i is outputted from the adder 41 to the data bus 28.
  • X 1 to X n are assumed as erasures
  • X 1 to X n-1 are erasures and X n is an error
  • the number of unknown quantity are (n+1) of Y 1 to Y n and X n .
  • X n can be obtained by using the above ⁇ nnj as follows: ##EQU22## Therefore, the unknown quantity are Y 1 to Y n , and thereafter, these unknown quantity can be obtained in the same way as in the erasure correction.
  • n+1 syndromes of S 1 to S n+1 are necessary, so that n ⁇ d-2.
  • the number of erasures is n-1 ⁇ d-3.
  • the remaining syndromes can be used for checking as in the above case.
  • the pointer areas are required for the total number of data (n 1 , n 2 ) corrsponding to the error correction code.
  • the present invention it is possible to reduce the number of pointers to (n 2 +2n 1 ) and further to reduce the capacity of the memory required in decoding. Further, according to the present invention, it is possible to reduce the number of steps for writing or reading the pointers.
  • the erasure correction in the C 2 decoding is implemented by the use of pointers formed by the C 1 decoding, since the pattern of the pointers with respect to each series of C 2 code is common and a part of the operations to obtain error value become common, it is possible to implement the operation only once. Therefore it is possible to markedly reduce the number of processing steps in decoding and to realize a high-speed in decoding operation.
  • the present invention makes it unnecessary to obtain the whole error values in accordance with complicated error evaluation polynomial in obtaining a plurality of error values, it is possible to obtain one of the error values by a simple construction and to reduce the number of the processing steps.

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US06/767,783 1983-12-20 1984-12-19 Method and apparatus for decoding error correction code Expired - Lifetime US4719628A (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
JP58-240525 1983-12-20
JP24052583A JPH0628343B2 (ja) 1983-12-20 1983-12-20 積符号の復号方法
JP58-198079 1983-12-23
JP1983198079U JPS60104947U (ja) 1983-12-23 1983-12-23 エラ−訂正復号器
PCT/JP1984/000603 WO1985002958A1 (en) 1983-12-20 1984-12-19 Method and apparatus for decoding error correction code

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US5467360A (en) * 1990-01-18 1995-11-14 U.S. Philips Corporation Storage device for reversibly storing digital data on a multitrack storage medium, a decoding device, an information reproducing apparatus for use with a storage medium, and a unitary storage medium for use with such a storage device decoding device and/o
US5517509A (en) * 1993-03-31 1996-05-14 Kabushiki Kaisha Toshiba Decoder for decoding ECC using Euclid's algorithm
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US5537429A (en) * 1992-02-17 1996-07-16 Mitsubishi Denki Kabushiki Kaisha Error-correcting method and decoder using the same
US5541937A (en) * 1993-12-27 1996-07-30 Canon Kabushiki Kaisha Apparatus for uniformly correcting erasure and error of received word by using a common polynomial
US5680156A (en) * 1994-11-02 1997-10-21 Texas Instruments Incorporated Memory architecture for reformatting and storing display data in standard TV and HDTV systems
US5712861A (en) * 1994-07-12 1998-01-27 Mitsubishi Denki Kabushiki Kaisha Error correcting method and decoder with improved reliability
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EP0167627A1 (de) 1986-01-15
DE3486471T2 (de) 1999-09-02
DE3486408T2 (de) 1996-03-14
EP0387924A3 (de) 1991-03-20
EP0387924A2 (de) 1990-09-19
EP0387924B1 (de) 1995-09-27
ATE128585T1 (de) 1995-10-15
ATE177570T1 (de) 1999-03-15
AU3781285A (en) 1985-07-12
KR850700196A (ko) 1985-10-25
WO1985002958A1 (en) 1985-07-04
AU581202B2 (en) 1989-02-16
HK118795A (en) 1995-07-28
DE3486200D1 (de) 1993-09-16
DE3486200T2 (de) 1993-12-02
EP0426657A3 (de) 1995-03-15
EP0426657A2 (de) 1991-05-08
KR930003997B1 (ko) 1993-05-19
BR8407228A (pt) 1985-11-26
EP0167627A4 (de) 1988-04-27
EP0167627B1 (de) 1993-08-11
DE3486471D1 (de) 1999-04-15
DE3486408D1 (de) 1995-11-02
EP0426657B1 (de) 1999-03-10

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